Java with Data Structures & Algorithms
Master Java programming along with essential Data Structures & Algorithms. Perfect for college students, placement aspirants, and coding interview preparation. Build logical thinking and problem-solving skills with real-time challenges.
- Java Programming Basics:Syntax, Data Types, Variables, Operators, Input/Output, Conditional Statements, Loops, and Functions.
- Object-Oriented Programming (OOP):Classes and Objects, Constructors, Inheritance, Polymorphism, Abstraction, Encapsulation, Method Overloading & Overriding.
- Arrays & Strings:1D & 2D Arrays, ArrayList, String manipulation, StringBuilder, Pattern problems, and common string algorithms.
- Recursion & Backtracking:Recursion fundamentals, subset generation, permutations, backtracking problems like N-Queens, Maze paths, and Sudoku solver.
- Sorting & Searching:Bubble, Selection, Insertion, Merge, Quick Sort. Binary & Linear Search, and related problem-solving techniques.
- Stacks & Queues:Implementation using Arrays & LinkedList, Infix to Postfix, Expression Evaluation, Queue & Circular Queue concepts.
- Linked Lists:Singly, Doubly & Circular Linked List, insertion, deletion, reversal, and cycle detection using Floyd’s Algorithm.
- Trees & Binary Search Trees:Traversal (Inorder, Preorder, Postorder), BST operations, AVL basics, Diameter, Height, LCA, DFS & BFS.
- Hashing:HashMap, HashSet, frequency counting, duplicate detection, custom hashing, and anagram-based problems.
- Graphs & Greedy Algorithms:DFS, BFS, Graph Representation, MST (Prim's, Kruskal's), Dijkstra’s Algorithm, Topological Sorting, and Union-Find.
- Dynamic Programming:Fibonacci variations, Knapsack, Longest Increasing Subsequence, LCS, Matrix Chain Multiplication, Tabulation & Memoization.
- Mock Tests & Live Coding Practice:100+ handpicked coding problems from platforms like LeetCode, GFG, and HackerRank — ideal for interview prep & campus placements.